Webinar
Build Your AI Agent
Watch the demo to see how to build AI agents and Cortex Agents in action.
Use case
dataagents
Use natural language queries to go from data to business insights. Data agents retrieve contextual information across structured and unstructured data, within the Snowflake secure perimeter.
Intelligent data interaction
Talk to your data and accelerate decisions with AI agents
Understand your business data fully, across tables, documents, and external sources, with the ease of natural language queries in Snowflake Intelligence, delivering secure and explainable results you can trust
Talk to your data in natural language
Empower employees to run analytics on enterprise data at scale and take actions, getting reliable insights they can trust.
Efficiently retrieve contextual data to get to insights faster
Get accurate answers fast, without waiting on dashboards or custom tools. A unified platform with APIs and industry-leading LLMs streamlines access to information and simplifies application development.
Enterprise-grade security, governance and observability
Every interaction is processed within Snowflake's secure perimeter and governance model, enabling compliance with your data policies through role-based access and providing explainability for audit purposes.
Benefits
Relevant answers with state-of-the-artagentic orchestration and best-in-class retrieval
Agentic AI
Build sophisticated AI agents grounded in your enterprise data
Get fast, relevant answers to your natural language queries across all enterprise data with Snowflake Intelligence's agentic orchestration and best-in-class retrieval.
Best-in-class retrieval
Query both structured and unstructured data
Expedite gen AI application development using data agents and tools. Streamline agentic application data access and orchestration by using Cortex Agents, which call tools like Cortex Analyst and Cortex Search to retrieve data for more reliable AI-driven decisions.
“The great thing about building AI agents in Snowflake is the ability to bring structured and unstructured data together in one place.”
Glenn Walker
CDO, Luminate
- 334% faster daily processing for over a trillion data points
- 3.5TB+ data processed daily
Secure AI-powered decisions
Maintain strict data privacy controls with Snowflake Cortex Agents for trusted AI applications
- Support the security and governance of your AI applications with Snowflake Cortex Agents, especially as AI agents navigate growing data volumes where maintaining privacy and managing access controls become increasingly critical. Snowflake’s unified platform offers end-to-end governance, allowing secure scaling of AI solutions.
- Enable detailed logging for every step of agent execution, from input prompts to final response, providing transparency for audit and easy debugging to refine accuracy, latency, and cost, ultimately building greater trust in your AI applications.
Collaborate with ease and efficiency
Integrate Cortex Agents with Microsoft Teams and Microsoft Copilot
With Cortex Agents for MS Teams and M365 Copilot, organizations can interact with data agents right where they collaborate.
Resources
Explore the tools behind Snowflake Intelligence
Resources
Snowflake Data AgentResources
Get Started
Take the next stepwith Snowflake
Start your 30-day free Snowflake trial today
- $400 in free usage to start
- Immediate access to the AI Data Cloud
- Enable your most critical data workloads
Conversational AI in Snowflake
Frequently Asked Questions
Understand how AI agents can turn your enterprise data into fast, governed insights.
What is Snowflake Intelligence?
Snowflake Intelligence is a conversational AI experience that allows business users to interact with their enterprise data using natural language, providing deep insights from both structured and unstructured sources while maintaining Snowflake's security and governance framework, ultimately bridging the gap between data and actionable business intelligence.
It can query both structured data (tables and records in databases) and unstructured data (documents, conversations, transcripts, emails). It also can access information from third-party applications including Salesforce and Zendesk through Snowflake’s connectivity capabilities.
How does Snowflake ensure security and governance for AI agents?
Snowflake ensures security and governance for AI agents by integrating them within its existing robust security framework. The system automatically honors all role-based access controls, data masking policies, and governance rules that are already established in Snowflake.
This means AI agents can only access and provide insights based on data that users are authorized to see, eliminating the need to create separate permission systems. Additionally, Snowflake maintains end-to-end unified governance from data ingestion to application deployment, provides complete transparency into how insights are generated, and offers administrative visibility into agent usage and performance, all while keeping everything within Snowflake's secure perimeter.
Can the semantic model be automatically created?
Yes. This feature introduces an AI generation capability that gives users the ability to generate the semantic model completely automatically. The UI will take semantic context from a number of different possible sources (including external semantic layers), and generate a semantic model with that information. Query history data is used to infer relationships and generate verified queries automatically.
Can I embed Cortex Agents in my own app?
Yes, you can use REST APIs to embed agentic workflows into web apps, internal portals or collaboration channels such as Microsoft Teams.
How do I get started building my own data agent?
Build your agents with Snowsight. You can also reference example apps and templates from the Cortex AI quickstarts.
What makes Snowflake’s conversational AI different?
Snowflake offers unified access to both structured and unstructured data, industry-leading reasoning models, comprehensive explainability, all within Snowflake secure perimeter.
